Research on combat network link prediction based on AIProbS method

Yalin Yao; Guangjun Zeng; Bing Yan; Kebin Chen; Ke Ji

doi:10.1117/12.2685069

19 October 2023 Research on combat network link prediction based on AIProbS method

Yalin Yao, Guangjun Zeng, Bing Yan, Kebin Chen, Ke Ji

Proceedings Volume 12709, Fourth International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2023); 127092P (2023) https://doi.org/10.1117/12.2685069
Event: Fourth International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2023), 2023, Nanjing, China

Abstract

The application of combat network in modern warfare makes combat operations have overall effectiveness. However, it is often impossible for commanders to observe the complete network topology of the enemy. The link prediction of the combat network can help the commander to reasonably implement the distributed network operation, which has important military value. This paper proposes an Adaptive and Interpretable Probabilistic Spreading (AIProbS) method for combat network link prediction. It controls the resource propagation in the ProbS framework through the network representation method of determinable dimensions and interpretable elements, thus simulating the information transmission in the real battlefield environment. Through experiments, the effectiveness of the method we proposed are proved.

Citation Download Citation

Yalin Yao, Guangjun Zeng, Bing Yan, Kebin Chen, and Ke Ji "Research on combat network link prediction based on AIProbS method", Proc. SPIE 12709, Fourth International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2023), 127092P (19 October 2023); https://doi.org/10.1117/12.2685069

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